Kaipūhanga Raraunga Mātāmua Senior Data Engineer

Tasks

• Apply infrastructure as code
• Build data products and customer data solutions
• Collaborate with product and engineering teams to deliver outcomes
• Contribute to engineering standards and architectural decisions
• Deliver production grade data platforms
• Design and optimize data pipelines
• Develop scalable data models
• Implement CI/CD automation
• Implement automated data quality controls
• Implement observability including monitoring lineage logging tracing
• Mentor data engineers and support capability uplift
• Support data architecture and solution design
• Translate requirements into data solutions

Perks/Benefits

• Buy additional leave
• Career development
• Enhanced employer KiwiSaver contribution
• Enhanced sick leave
• Hybrid working
• Learning and upskilling opportunities
• Medical insurance
• Parental leave benefits
• Volunteering scheme

Skills/Tech-stack

Automated data quality | Azure | Azure Data | Azure Data Factory | Azure Data Lake | CI/CD | Data Architecture | Data Factory | Data Governance | Data Lake | Data Modeling | Data Quality | Data Security | Data pipeline | Data platform | Databricks | Infrastructure as Code | Lineage | Logging | Monitoring | Observability | Python | SQL | Snowflake | Terraform | Tracing | “as-code”